| from modules import modelloader, devices, errors
|
| from modules.shared import opts
|
| from modules.upscaler import Upscaler, UpscalerData
|
| from modules.upscaler_utils import upscale_with_model
|
|
|
|
|
| class UpscalerESRGAN(Upscaler):
|
| def __init__(self, dirname):
|
| self.name = "ESRGAN"
|
| self.model_url = "https://github.com/cszn/KAIR/releases/download/v1.0/ESRGAN.pth"
|
| self.model_name = "ESRGAN_4x"
|
| self.scalers = []
|
| self.user_path = dirname
|
| super().__init__()
|
| model_paths = self.find_models(ext_filter=[".pt", ".pth"])
|
| scalers = []
|
| if len(model_paths) == 0:
|
| scaler_data = UpscalerData(self.model_name, self.model_url, self, 4)
|
| scalers.append(scaler_data)
|
| for file in model_paths:
|
| if file.startswith("http"):
|
| name = self.model_name
|
| else:
|
| name = modelloader.friendly_name(file)
|
|
|
| scaler_data = UpscalerData(name, file, self, 4)
|
| self.scalers.append(scaler_data)
|
|
|
| def do_upscale(self, img, selected_model):
|
| try:
|
| model = self.load_model(selected_model)
|
| except Exception:
|
| errors.report(f"Unable to load ESRGAN model {selected_model}", exc_info=True)
|
| return img
|
| model.to(devices.device_esrgan)
|
| return esrgan_upscale(model, img)
|
|
|
| def load_model(self, path: str):
|
| if path.startswith("http"):
|
|
|
| filename = modelloader.load_file_from_url(
|
| url=self.model_url,
|
| model_dir=self.model_download_path,
|
| file_name=f"{self.model_name}.pth",
|
| )
|
| else:
|
| filename = path
|
|
|
| return modelloader.load_spandrel_model(
|
| filename,
|
| device=('cpu' if devices.device_esrgan.type == 'mps' else None),
|
| expected_architecture='ESRGAN',
|
| )
|
|
|
|
|
| def esrgan_upscale(model, img):
|
| return upscale_with_model(
|
| model,
|
| img,
|
| tile_size=opts.ESRGAN_tile,
|
| tile_overlap=opts.ESRGAN_tile_overlap,
|
| )
|
|
|
